Why you should let AI fix your datasets

Real world data is full of issues, that often hinder AI projects graduating from demos to production. Companies that produce the best AI models (OpenAI, Mistral, Google, Tesla) know this and invest massive amounts of labor/$$ to curate their datasets to be extremely high-quality. Although your team likely cannot afford this, you can benefit from recent advances in automated data curation.

Cleanlab is a Data-Centric AI platform that uses novel AI techniques to automatically find and fix common issues in any image, text, or structured/tabular dataset. Come learn how Cleanlab’s algorithms work, and how algorithmic data curation is the fastest way to go from raw data to reliable AI/Analytics.

Cleanlab open-source package (most popular software for Data-Centric AI)

Microsoft for Startups Founders Hub helps startups radically accelerate innovation by providing access to industry-leading AI services, expert guidance, and the essential technology needed to build a future-proofed startup. https://aka.ms/bwaiStartups

📌 Let's connect

Aishwarya Srinivasan | https://www.linkedin.com/in/aishwarya-srinivasan
Jonas Mueller | https://www.linkedin.com/in/jonasmueller

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Get started with Generative AI with Azure AI & OpenAI, available through the Founders Hub program credits. https://github.com/microsoft/generative-ai-for-beginners